美国路易斯安那州密西西比河冲积含水层(MRAA)地下水保护的潜在经济影响

IF 1.8 4区 环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES Natural Resource Modeling Pub Date : 2021-09-21 DOI:10.1111/nrm.12330
D. Bhatta, K. Paudel, Bin Li
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引用次数: 2

摘要

地下水的过度开采降低了地下水位,增加了能源成本,并可能威胁到含水层的经济寿命。在美国密西西比河冲积含水层(MRAA)地区,玉米和大豆等水密集型作物占据了农业用地,因此对这一承压含水层造成了压力。地下水保护政策或采用高效灌溉技术可以节约水和能源。本研究旨在估算2020 - 2022年30%、20%、10%、5%和不涵养地下水情景下的未来灌溉土地收益。一个准确的预测作物选择决策的模型对于估计地下水政策的影响是非常重要的。我们开发了一种作物选择模型,每个农民每年都可以选择种植作物或休耕。我们使用随机森林、增强回归树和支持向量机进行作物选择预测。增强回归树在我们的分类问题中表现最好,样本外准确率为75.5%。预测模型表明,未来玉米种植者的数量将会增加。结果表明,在连续3年节约地下水30%的情况下,2572户农户的利润累计增长0.14%。从政策的角度来看,向农民提供资金和技术援助,帮助他们投资保护地下水,可以节省能源成本,维持MRAA的经济生命。
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Potential economic impacts of groundwater conservation in the Mississippi River Alluvial Aquifer (MRAA), Louisiana, USA
Overextraction of groundwater reduces groundwater height, increases the energy cost, and may threaten an aquifer's economic life. Water‐intensive crops, corn, and soybean, dominate the agricultural land in the Mississippi River Alluvial Aquifer (MRAA) region of the United States, thus stressing this confined aquifer. Groundwater conservation policy or the adoption of efficient irrigation technology could save both water and energy. This study aims to estimate the future returns from the irrigated land under the scenarios of 30%, 20%, 10%, 5%, and no groundwater conservation from 2020 to 2022. An accurate model to predict the crop choice decision is important to estimate the impact of groundwater policies. We develop a crop choice model where an individual farmer has a crop planting or land fallowing choice each year. We use the random forest, boosted regression trees, and support vector machine for the crop choice prediction. Boosted regression trees perform the best in our classification problem with 75.5% out of sample accuracy. The prediction model shows that the numbers of corn growers increase in the future. Our results show that the profit of 2572 farmers increased cumulatively by 0.14% when they conserve groundwater by 30% for 3 years. From a policy perspective, providing financial and technical assistant to farmers for making investments to conserve groundwater could save energy costs and sustain the economic life of the MRAA.
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来源期刊
Natural Resource Modeling
Natural Resource Modeling 环境科学-环境科学
CiteScore
3.50
自引率
6.20%
发文量
28
审稿时长
>36 weeks
期刊介绍: Natural Resource Modeling is an international journal devoted to mathematical modeling of natural resource systems. It reflects the conceptual and methodological core that is common to model building throughout disciplines including such fields as forestry, fisheries, economics and ecology. This core draws upon the analytical and methodological apparatus of mathematics, statistics, and scientific computing.
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